More Web Proxy on the site http://driver.im/

research-article

What Happened in my Home?: An End-User Development Approach for Smart Home Data Visualization

Authors:

Corinna Ogonowski,

Gunnar Stevens,

Volker WulfAuthors Info & Claims

CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Pages 853 - 866

https://doi.org/10.1145/3025453.3025485

Published: 02 May 2017 Publication History

Abstract

Smart home systems change the way we experience the home. While there are established research fields within HCI for visualizing specific use cases of a smart home, studies targeting user demands on visualizations spanning across multiple use cases are rare. Especially, individual data-related demands pose a challenge for usable visualizations. To investigate potentials of an end-user development (EUD) approach for flexibly supporting such demands, we developed a smart home system featuring both pre-defined visualizations and a visualization creation tool. To evaluate our concept, we installed our prototype in 12 households as part of a Living Lab study. Results are based on three interview studies, a design workshop and system log data. We identified eight overarching interests in home data and show how participants used pre-defined visualizations to get an overview and the creation tool to not only address specific use cases but also to answer questions by creating temporary visualizations.

Supplementary Material

suppl.mov (pn1162p.mp4)

Supplemental video

Download
2.17 MB

References

[1]

Wolfgang Aigner, Silvia Miksch, Heidrun Schumann, and Christian Tominski. 2011. Visualization of TimeOriented Data. Springer London, London.

[2]

Abdullah Al Mahmud, Omar Mubin, Suleman Shahid, James F. Juola, and Boris de Ruyter. 2008. EZ phone: persuading mobile users to conserve energy. In Proceedings of the 22nd British HCI Group Annual Conference on People and Computers: Culture, Creativity, InteractionVolume 2, 7--10.

[3]

Frances K. Aldrich. 2003. Smart Homes: Past, Present and Future. In Inside the Smart Home, Richard Harper (ed.). Springer London, 17--39. https://doi.org/10.1007/185233--854--7_2

[4]

M. Balestrini, T. Diez, P. Marshall, A. Gluhak, and Y. Rogers. 2015. IoT Community Technologies: Leaving Users to Their Own Devices or Orchestration of Engagement? EAI Endorsed Transactions on Internet of Things 1, 1: 150601. https://doi.org/10.4108/eai.26--102015.150601

[5]

Victoria Bellotti and Keith Edwards. 2001. Intelligibility and Accountability: Human Considerations in Contextaware Systems. Hum.-Comput. Interact. 16, 2: 193--212. https://doi.org/10.1207/S15327051HCI16234_05

Digital Library

[6]

Regina Bernhaupt, Marianna Obrist, Astrid Weiss, Elke Beck, and Manfred Tscheligi. 2008. Trends in the living room and beyond: results from ethnographic studies using creative and playful probing. Computers in Entertainment (CIE) 6, 1: 5.

Digital Library

[7]

Christoffer Björkskog, Giulio Jacucci, Topi Mikkola, Massimo Bertoncini, Luciano Gamberini, Carin Torstensson, Tatu Nieminen, Luigi Briguglio, Pasquale Andriani, and Giampaolo Fiorentino. 2010. Beaware: A framework for residential services on energy awareness. In UBICOMM 2010, The Fourth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, 294--300.

[8]

K. Borner, Unkown, and Unknown. InfoVis CyberInfrastructure- Spring Embedding Algorithm. Retrieved September 5, 2016 from http://iv.slis.indiana.edu/sw/toolkit.html

[9]

L. Borodulkin, H. Ruser, and H. R. Trankler. 2002. 3D virtual "smart home" user interface. In 2002 IEEE International Symposium on Virtual and Intelligent Measurement Systems, 2002. VIMS '02, 111--115. https://doi.org/10.1109/VIMS.2002.1009367

[10]

Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative research in psychology 3, 2: 77--101.

[11]

A.J. Bernheim Brush, Bongshin Lee, Ratul Mahajan, Sharad Agarwal, Stefan Saroiu, and Colin Dixon. 2011. Home Automation in the Wild: Challenges and Opportunities. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '11), 2115-- 2124. https://doi.org/10.1145/1978942.1979249

Digital Library

[12]

Leah Buechley, Mike Eisenberg, Jaime Catchen, and Ali Crockett. 2008. The LilyPad Arduino: Using Computational Textiles to Investigate Engagement, Aesthetics, and Diversity in Computer Science Education. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '08), 423--432. https://doi.org/10.1145/1357054.1357123

Digital Library

[13]

Stuart K. Card, Jock D. Mackinlay, and Ben Shneiderman. 1999. Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann.

[14]

Nico Castelli, Gunnar Stevens, Timo Jakobi, and Niko Schönau. 2016. Beyond Eco-feedback: Using Room as a Context to Design New Eco-support Features at Home. In Advances and New Trends in Environmental and Energy Informatics, Jorge Marx Gomez, Michael Sonnenschein, Ute Vogel, Andreas Winter, Barbara Rapp and Nils Giesen (eds.). Springer International Publishing, 177--195. https://doi.org/10.1007/978--3--319--23455--7_10

[15]

Marshini Chetty, Ja-Young Sung, and Rebecca E. Grinter. 2007. How Smart Homes Learn: The Evolution of the Networked Home and Household. In Proceedings of the 9th International Conference on Ubiquitous Computing (UbiComp '07), 127--144.

[16]

Ricardo Costa, Davide Carneiro, Paulo Novais, Luís Lima, José Machado, Alberto Marques, and José Neves. 2009. Ambient assisted living. In 3rd Symposium of Ubiquitous Computing and Ambient Intelligence 2008, 86-- 94.

[17]

Enrico Costanza, Sarvapali D. Ramchurn, and Nicholas R. Jennings. 2012. Understanding domestic energy consumption through interactive visualisation: a field study. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 216--225.

Digital Library

[18]

Sarah Darby. 2006. The effectiveness of feedback on energy consumption. A Review for DEFRA of the Literature on Metering, Billing and direct Displays 486: 2006.

[19]

Luigi De Russis and Fulvio Corno. 2015. HomeRules: A Tangible End-User Programming Interface for Smart Homes. 2109--2114. https://doi.org/10.1145/2702613.2732795

Digital Library

[20]

Anind K. Dey, Timothy Sohn, Sara Streng, and Justin Kodama. 2006. iCAP: Interactive Prototyping of ContextAware Applications. In Pervasive Computing, Kenneth P. Fishkin, Bernt Schiele, Paddy Nixon and Aaron Quigley (eds.). Springer Berlin Heidelberg, 254--271. https://doi.org/10.1007/11748625_16

Digital Library

[21]

Sebastian Draxler, Gunnar Stevens, Martin Stein, Alexander Boden, and David Randall. 2012. Supporting the social context of technology appropriation: on a synthesis of sharing tools and tool knowledge. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2835--2844.

Digital Library

[22]

W. Keith Edwards and Rebecca E. Grinter. 2001. At Home with Ubiquitous Computing: Seven Challenges. In Proceedings of the 3rd International Conference on Ubiquitous Computing (UbiComp '01), 256--272.

[23]

Mats Eriksson and Seija Kulkki. 2005. State-of-the-Art in Utilizing Living Labs Approach to User-centric ICT innovation -- a European approach. ResearchGate 15.

[24]

Jean-Daniel Fekete. 2004. The InfoVis Toolkit. In Proceedings of the IEEE Symposium on Information Visualization (INFOVIS '04), 167--174. https://doi.org/10.1109/INFOVIS.2004.64

[25]

Stephen Few. 2006. Information Dashboard Design: The Effective Visual Communication of Data. O'Reilly Media, Beijing?; Cambride MA.

Digital Library

[26]

Joel E. Fischer, Andy Crabtree, Tom Rodden, James A. Colley, Enrico Costanza, Michael O. Jewell, and Sarvapali D. Ramchurn. 2016. "Just Whack It on Until It Gets Hot": Working with IoT Data in the Home. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16), 5933--5944. https://doi.org/10.1145/2858036.2858518

Digital Library

[27]

Geraldine Fitzpatrick and Greg Smith. 2009. Technology-enabled feedback on domestic energy consumption: Articulating a set of design concerns. Pervasive Computing, IEEE 8, 1: 37--44.

Digital Library

[28]

Asbjørn Følstad, Petter Bae Brandtzæg, Jan Gulliksen, Mikael Börjeson, and Pirjo Näkki. 2009. Towards a Manifesto for Living Lab Co-creation. In Human-Computer Interaction -- INTERACT 2009, Tom Gross, Jan Gulliksen, Paula Kotzé, Lars Oestreicher, Philippe Palanque, Raquel Oliveira Prates and Marco Winckler (eds.). Springer Berlin Heidelberg, 979--980. https://doi.org/10.1007/978--3--64203658--3_140

[29]

Jon Froehlich. 2011. Sensing and Feedback of Everyday Activities to Promote Environmental Behaviors. University of Washington.

[30]

Jon Froehlich, Leah Findlater, and James Landay. 2010. The Design of Eco-feedback Technology. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '10), 1999--2008. https://doi.org/10.1145/1753326.1753629

Digital Library

[31]

Catherine Grevet, Jennifer Mankoff, and Scott D. Anderson. 2010. Design and evaluation of a social visualization aimed at encouraging sustainable behavior. In System Sciences (HICSS), 2010 43rd Hawaii International Conference on, 1--8.

Digital Library

[32]

Rebecca E. Grinter, W. Keith Edwards, Mark W. Newman, and Nicolas Ducheneaut. 2005. The Work to Make a Home Network Work. In Proceedings of the Ninth Conference on European Conference on Computer Supported Cooperative Work (ECSCW'05), 469--488.

[33]

Yukang Guo, Matt Jones, Benjamin Cowan, and Russell Beale. 2013. Take it personally: personal accountability and energy consumption in domestic households. In CHI'13 Extended Abstracts on Human Factors in Computing Systems, 1467--1472.

Digital Library

[34]

Helen Ai He, Saul Greenberg, and Elaine M. Huang. 2010. One size does not fit all: applying the transtheoretical model to energy feedback technology design. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 927--936.

Digital Library

[35]

Jeffrey Heer, Stuart K. Card, and James A. Landay. 2005. Prefuse: A Toolkit for Interactive Information Visualization. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '05), 421--430. https://doi.org/10.1145/1054972.1055031

Digital Library

[36]

Steven Houben, Connie Golsteijn, Sarah Gallacher, Rose Johnson, Saskia Bakker, Nicolai Marquardt, Licia Capra, and Yvonne Rogers. 2016. Physikit: Data Engagement Through Physical Ambient Visualizations in the Home. 1608--1619. https://doi.org/10.1145/2858036.2858059

Digital Library

[37]

Jan Humble, Andy Crabtree, Terry Hemmings, KarlPetter Åkesson, Boriana Koleva, Tom Rodden, and Pär Hansson. 2003. "Playing with the Bits" User-Configuration of Ubiquitous Domestic Environments. In UbiComp 2003: Ubiquitous Computing, Anind K. Dey, Albrecht Schmidt and Joseph F. McCarthy (eds.). Springer Berlin Heidelberg, 256--263. https://doi.org/10.1007/978--3--540--39653--6_20

[38]

IFTTT. IFTTT. IFTTT / Connect the apps you love. Retrieved September 18, 2016 from https://ifttt.com/recipes

[39]

T. Jakobi and T. Schwartz. 2012. Putting the user in charge: End user development for eco-feedback technologies. In Sustainable Internet and ICT for Sustainability (SustainIT), 2012, 1--4.

[40]

Li Jönsson, Loove Broms, and Cecilia Katzeff. 2010. Watt-Lite: Energy Statistics Made Tangible. In Proceedings of the 8th ACM Conference on Designing Interactive Systems (DIS '10), 240--243. https://doi.org/10.1145/1858171.1858214

Digital Library

[41]

Ben Kirman, Conor Linehan, Shaun Lawson, Derek Foster, and Mark Doughty. 2010. There's a monster in my kitchen: using aversive feedback to motivate behaviour change. In CHI'10 Extended Abstracts on Human Factors in Computing Systems, 2685--2694.

Digital Library

[42]

Jesper Kjeldskov, Mikael B. Skov, Jeni Paay, and Rahuvaran Pathmanathan. 2012. Using mobile phones to support sustainability: a field study of residential electricity consumption. In Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems, 2347--2356.

Digital Library

[43]

Henry Lieberman, Fabio Paternò, Markus Klann, and Volker Wulf. 2006. End-User Development: An Emerging Paradigm. In End User Development, Henry Lieberman, Fabio Paternò and Volker Wulf (eds.). Springer Netherlands, 1--8. https://doi.org/10.1007/1--4020--5386-X_1

[44]

Brian Y. Lim, Anind K. Dey, and Daniel Avrahami. 2009. Why and Why Not Explanations Improve the Intelligibility of Context-aware Intelligent Systems. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '09), 2119--2128. https://doi.org/10.1145/1518701.1519023

Digital Library

[45]

Jörn Loviscach. 2011. The design space of personal energy conservation assistants. PsychNology Journal 9, 1: 29--41.

[46]

Sarah Mennicken and Elaine M. Huang. 2012. Hacking the Natural Habitat: An In-the-wild Study of Smart Homes, Their Development, and the People Who Live in Them. In Proceedings of the 10th International Conference on Pervasive Computing (Pervasive'12), 143--160. https://doi.org/10.1007/978--3--642--31205--2_10

[47]

Sarah Mennicken, David Kim, and Elaine May Huang. 2016. Integrating the Smart Home into the Digital Calendar. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16), 5958--5969. https://doi.org/10.1145/2858036.2858168

Digital Library

[48]

Sarah Mennicken, Jo Vermeulen, and Elaine M. Huang. 2014. From Today's Augmented Houses to Tomorrow's Smart Homes: New Directions for Home Automation Research. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '14), 105--115. https://doi.org/10.1145/2632048.2636076

Digital Library

[49]

Maurice Mulvenna, William Carswell, Paul Mccullagh, Juan Augusto, Huiru Zheng, Paul Jeffers, Haiying Wang, and Suzanne Martin. 2011. Visualization of data for ambient assisted living services. IEEE Communications Magazine 49, 1: 110--117. https://doi.org/10.1109/MCOM.2011.5681023

Digital Library

[50]

Mark W. Newman. Now We're Cooking: Recipes for End-User Service Composition in the Digital Home. ResearchGate.

[51]

Jakob Nielsen. 1994. Usability engineering. Morgan Kaufmann Publishers, San Francisco, Calif.

Digital Library

[52]

Torkel Ödegaard. The leading graph and dashboard builder for visualizing time series metrics. Grafana.org. Retrieved September 18, 2016 from http://grafana.org/

[53]

Corinna Ogonowski, Benedikt Ley, and Jan Hess. 2013. Designing for the living room: long-term user involvement in a living lab. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems.

Digital Library

[54]

Petromil Petkov, Felix Köbler, Marcus Foth, and Helmut Krcmar. 2011. Motivating domestic energy conservation through comparative, community-based feedback in mobile and social media. In Proceedings of the 5th International Conference on Communities and Technologies, 21--30.

Digital Library

[55]

James Pierce, William Odom, and Eli Blevis. 2008. Energy Aware Dwelling: A Critical Survey of Interaction Design for Eco-visualizations. In Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat (OZCHI '08), 1--8. https://doi.org/10.1145/1517744.1517746

Digital Library

[56]

J. Rodgers and L. Bartram. 2011. Exploring Ambient and Artistic Visualization for Residential Energy Use Feedback. IEEE Transactions on Visualization and Computer Graphics 17, 12: 2489--2497. https://doi.org/10.1109/TVCG.2011.196

Digital Library

[57]

Ana Rosselló-Busquet and José Soler. Towards Efficient Energy Management: Defining HEMS and Smart Grid Objectives. ResearchGate.

[58]

Tobias Schwartz, Sebastian Denef, Gunnar Stevens, Timo Jakobi, Volker Wulf, and Leonardo Ramirez. 2014. What People Do with Consumption Feedback: A LongTerm Living Lab Study of a Home Energy Management System, in: Interacting with Computers, 27 (6), 2015, 551-

[59]

Tobias Schwartz, Sebastian Denef, Gunnar Stevens, Leonardo Ramirez, and Volker Wulf. 2013. Cultivating energy literacy: results from a longitudinal living lab study of a home energy management system. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '13), 1193--1202. https://doi.org/10.1145/2470654.2466154

Digital Library

[60]

Anneli Selvefors, M. Karlsson, and Ulrike Rahe. 2013. Use and Adoption of Interactive Energy Feedback Systems. Proceedings of IASDR: 1771--1782.

[61]

Ben Shneiderman. 1996. The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations. In Proceedings of the 1996 IEEE Symposium on Visual Languages (VL '96), 336--.

Digital Library

[62]

Ben Shneiderman. 2004. Designing the User Interface: Strategies for Effective Human-Computer Interaction. Addison Wesley, Boston.

Digital Library

[63]

Martin Stein, Alexander Boden, Dominik Hornung, and Volker Wulf. 2016. Third Spaces in the Age of IoT: A Study on Participatory Design of Complex Systems. In Symposium on Challenges and experiences in designing for an ageing society, 12th International Conference on Designing Interactive Systems (COOP).

[64]

Gunnar Stevens, Volkmar Pipek, and Volker Wulf. 2009. Appropriation Infrastructure: Supporting the Design of Usages. . Springer Berlin Heidelberg, 50--69.

Digital Library

[65]

Hong Sun, Vincenzo De Florio, Ning Gui, and Chris Blondia. 2009. Promises and challenges of ambient assisted living systems. In Information Technology: New Generations, 2009. ITNG'09. Sixth International Conference on, 1201--1207.

Digital Library

[66]

Vasughi Sundramoorthy, Qi Liu, Grahame Cooper, Nigel Linge, and Joshua Cooper. 2010. DEHEMS: A userdriven domestic energy monitoring system. In Internet of Things (IOT), 2010, 1--8.

[67]

Barnabás Takács and Dávid Hanák. 2006. A mobile system for assisted living with ambient facial interfaces. ResearchGate 2: 33--50.

[68]

Peter Tolmie, Andy Crabtree, Tom Rodden, James Colley, and Ewa Luger. 2016. "This Has to Be the Cats": Personal Data Legibility in Networked Sensing Systems. In Proceedings of the 19th ACM Conference on ComputerSupported Cooperative Work & Social Computing (CSCW '16), 491--502. https://doi.org/10.1145/2818048.2819992

Digital Library

[69]

C. Tominski, G. Fuchs, and H. Schumann. 2008. TaskDriven Color Coding. In Information Visualisation, 2008. IV '08. 12th International Conference, 373--380. https://doi.org/10.1109/IV.2008.24

Digital Library

[70]

Khai N. Truong, Elaine M. Huang, and Gregory D. Abowd. 2004. CAMP: A Magnetic Poetry Interface for End-User Programming of Capture Applications for the Home. In UbiComp 2004: Ubiquitous Computing, Nigel Davies, Elizabeth D. Mynatt and Itiro Siio (eds.). Springer Berlin Heidelberg, 143--160. https://doi.org/10.1007/978--3540--30119--6_9

[71]

Michael B. Twidale. 2005. Over the Shoulder Learning: Supporting Brief Informal Learning. Computer Supported Cooperative Work (CSCW) 14, 6: 505--547. https://doi.org/10.1007/s10606-005--9007--7

[72]

Jong-bum Woo and Youn-kyung Lim. 2015. User Experience in Do-it-yourself-style Smart Homes. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '15), 779--790. https://doi.org/10.1145/2750858.2806063

Digital Library

[73]

Volker Wulf, Claudia Müller, Volkmar Pipek, David Randall, Markus Rohde, and Gunnar Stevens. 2015. Practice-Based Computing: Empirically Grounded Conceptualizations Derived from Design Case Studies. In Designing Socially Embedded Technologies in the RealWorld. Springer London, 111--150.

[74]

Volker Wulf, Markus Rohde, V Pipek, and G Stevens. 2011. Engaging with practices: design case studies as a research framework in CSCW. Proceedings of the ACM 2011 conference on Computer supported cooperative work: 505--512.

Digital Library

[75]

Tae-Jung Yun. 2009. Investigating the impact of a minimalist in-home energy consumption display. In CHI'09 Extended Abstracts on Human Factors in Computing Systems, 4417--4422.

Digital Library

[76]

Bin Zhang, Pei-Luen Patrick Rau, and Gavriel Salvendy. 2009. Design and evaluation of smart home user interface: effects of age, tasks and intelligence level. Behaviour & Information Technology 28, 3: 239--249. https://doi.org/10.1080/01449290701573978

Digital Library

[77]

openHAB. Retrieved January 1, 2017 from http://www.openhab.org/

Cited By

Wang CHe WPierson TKotz D(2024)Moat: Adaptive Inside/Outside Detection System for Smart HomesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997518:4(1-31)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699751
Gallo SMattioli APaterno FBarricelli BFogli DGuizzardi D(2024)An Architecture for Green Smart Homes Controlled by End UsersProceedings of the 2024 International Conference on Advanced Visual Interfaces10.1145/3656650.3656710(1-3)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3656650.3656710
Jain PXu ADownes TKim IKhan TBiehl JLee A(2024)Understanding Perceived Utility and Comfort of In-Home General-Purpose Sensing through Progressive ExposureProceedings of the ACM on Human-Computer Interaction10.1145/36374328:CSCW1(1-32)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637432
Show More Cited By

Index Terms

What Happened in my Home?: An End-User Development Approach for Smart Home Data Visualization
1. Human-centered computing
  1. Human computer interaction (HCI)

Recommendations

The Catch(es) with Smart Home: Experiences of a Living Lab Field Study
CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Smart home systems are becoming an integral feature of the emerging home IT market. Under this general term, products mainly address issues of security, energy savings and comfort. Comprehensive systems that cover several use cases are typically ...
Who's In Control?: Interactions In Multi-User Smart Homes
CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Adoption of commercial smart home devices is rapidly increasing, allowing in-situ research in people's homes. As these technologies are deployed in shared spaces, we seek to understand interactions among multiple people and devices in a smart home. We ...
Evolving Needs in IoT Control and Accountability: A Longitudinal Study on Smart Home Intelligibility

A key issue for smart home systems is supporting non-expert users in their management. Whereas feedback design on use cases (such as energy feedback) have gained attention, current approaches to providing awareness on the system state typically provide a ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

May 2017

7138 pages

ISBN:9781450346559

DOI:10.1145/3025453

General Chairs:
Gloria Mark
University of California Irvine
,
Susan Fussell
Cornell University
,
Program Chairs:
Cliff Lampe
University of Michigan
,
m.c. schraefel
University of Southampton
,
Juan Pablo Hourcade
University of Iowa
,
Caroline Appert
Université Paris-Sud
,
Daniel Wigdor
University of Toronto

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 May 2017

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

Bundesministerium für Wirtschaft und Energie
Ministerium für Klimaschutz, Umwelt, Landwirtschaft, Natur- und Verbraucherschutz des Landes Nordrhein-Westfalen

Conference

CHI '17

Sponsor:

SIGCHI

CHI '17: CHI Conference on Human Factors in Computing Systems

May 6 - 11, 2017

Colorado, Denver, USA

Acceptance Rates

CHI '17 Paper Acceptance Rate 600 of 2,400 submissions, 25%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

Upcoming Conference

CHI 2025

Sponsor:
sigchi

ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

75
Total Citations
View Citations
2,562
Total Downloads

Downloads (Last 12 months)231
Downloads (Last 6 weeks)25

Reflects downloads up to 11 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Wang CHe WPierson TKotz D(2024)Moat: Adaptive Inside/Outside Detection System for Smart HomesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997518:4(1-31)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699751
Gallo SMattioli APaterno FBarricelli BFogli DGuizzardi D(2024)An Architecture for Green Smart Homes Controlled by End UsersProceedings of the 2024 International Conference on Advanced Visual Interfaces10.1145/3656650.3656710(1-3)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3656650.3656710
Jain PXu ADownes TKim IKhan TBiehl JLee A(2024)Understanding Perceived Utility and Comfort of In-Home General-Purpose Sensing through Progressive ExposureProceedings of the ACM on Human-Computer Interaction10.1145/36374328:CSCW1(1-32)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637432
Brombacher HVan Koningsbruggen RVos SHouben SCiolfi LHogan TDöring TJenkins Tvan Dijk JHuron SLi ZCoyle DSigner B(2024)SensorBricks: a Collaborative Tangible Sensor Toolkit to Support the Development of Data LiteracyProceedings of the Eighteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3623509.3633378(1-17)Online publication date: 11-Feb-2024
https://dl.acm.org/doi/10.1145/3623509.3633378
Amirkhani SAlizadeh FRandall DStevens G(2024)Beyond Dollars: Unveiling the Deeper Layers of Online Romance Scams Introducing “Body Scam”Extended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3651004(1-6)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3651004
Wang LVincent NRukanskaitė JZhang A(2024)Pika: Empowering Non-Programmers to Author Executable Governance Policies in Online CommunitiesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642012(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642012
Norval CSingh J(2024)A Room With an Overview: Toward Meaningful Transparency for the Consumer Internet of ThingsIEEE Internet of Things Journal10.1109/JIOT.2023.331836911:5(7583-7603)Online publication date: 1-Mar-2024
https://doi.org/10.1109/JIOT.2023.3318369
Tellarini CShajalal MCastelli NStein MBoden AChristensen T(2024)A mixed-method approach to study the impacts of energy micro-generation combined with appliance-level feedback on everyday practicesEnergy Efficiency10.1007/s12053-024-10276-z17:8Online publication date: 1-Nov-2024
https://doi.org/10.1007/s12053-024-10276-z
Shajalal MBoden AStevens GDu DKern D(2024)Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home EnvironmentsExplainable Artificial Intelligence10.1007/978-3-031-63803-9_23(418-440)Online publication date: 10-Jul-2024
https://doi.org/10.1007/978-3-031-63803-9_23
Ghorayeb AComber RGooberman-Hill R(2023)Development of a Smart Home Interface With Older Adults: Multi-Method Co-Design StudyJMIR Aging10.2196/444396(e44439)Online publication date: 16-Jun-2023
https://doi.org/10.2196/44439
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents