Seven HCI Grand Challenges

By C. Stephanidis, Gavriel Salvendy, M. Antona, Jessie Y. C. Chen, Jianming Dong, V. Duffy, Xiaowen Fang, C. Fidopiastis, Gino Fragomeni, Limin Paul Fu and 22 more. International journal of human computer interactions, 2019

452 citations recorded by the source corpus.

ABSTRACT This article aims to investigate the Grand Challenges which arise in the current and emerging landscape of rapid technological evolution towards more intelligent interactive technologies, coupled with increased and widened societal needs, as well as individual and collective expectations that HCI, as a discipline, is called upon to address. A perspective oriented to humane and social values is adopted, formulating the challenges in terms of the impact of emerging intelligent interactive technologies on human life both at the individual and societal levels. Seven Grand Challenges are identified and presented in this article: Human-Technology Symbiosis; Human-Environment Interactions; Ethics, Privacy and Security; Well-being, Health and Eudaimonia; Accessibility and Universal Access; Learning and Creativity; and Social Organization and Democracy. Although not exhaustive, they summarize the views and research priorities of an international interdisciplinary group of experts, reflecting different scientific perspectives, methodological approaches and application domains. Each identified Grand Challenge is analyzed in terms of: concept and problem definition; main research issues involved and state of the art; and associated emerging requirements. BACKGROUND This article presents the results of the collective effort of a group of 32 experts involved in the community of the Human Computer Interaction International (HCII) Conference series. The group’s collaboration started in early 2018 with the collection of opinions from all group members, each asked to independently list and describe five HCI grand challenges. During a one-day meeting held on the 20th July 2018 in the context of the HCI International 2018 Conference in Las Vegas, USA, the identified topics were debated and challenges were formulated in terms of the impact of emerging intelligent interactive technologies on human life both at the individual and societal levels. Further analysis and consolidation led to a set of seven Grand Challenges presented herein. This activity was organized and supported by the HCII Conference series.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Demography

View Paper: https://www.semanticscholar.org/paper/414598dff14c08a74ba1f119ed50029ce4eafe82

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Caleb Ziems
2. Alon Y. Halevy
3. Diyi Yang
4. Yi-Chia Wang
5. Jane A. Yu
6. Wei Xu
7. Marvin J. Dainoff
8. Zaifeng Gao

In Computer Vision and Pattern Recognition

1. Alon Y. Halevy
2. Diyi Yang
3. Yi-Chia Wang
4. Jane A. Yu
5. Liezhong Ge

In Demography

1. Diyi Yang
2. Paul Rodway
3. Astrid Schepman

Citations in the corpus

• The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence (2022, background): “In recent years, rapid improvements in artificial intelligence (AI) technologies have affected all social systems, including the economy, politics, science, and education (Luan et al., 2020, Stephanidis et al., 2019).”
• Six Human-Centered Artificial Intelligence Grand Challenges (2023, unknown): “The endeavor is not trivial, requiring human-centered approaches to face new challenges, shifting in focus and methods, so that they can effectively address the critical issues that underlie a more trustful and beneficial relationship between humankind and technology (Stephanidis et al., 2019).”
• The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory Validation and Associations with Personality, Corporate Distrust, and General Trust (2022, background): “Privacy, data protection, and ethical use are important elements of trust in that respect (Ikkatai et al., 2022; Stephanidis et al., 2019).”
• The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems (2022, background): “There is a long-standing interest in the moral responsibility of AI (Dehghani et al., 2008; Alaieri and Vellino, 2016; Stephanidis et al., 2019; Zoshak and Dew, 2021; Prabhumoye et al., 2021; Schramowski et al., 2021).”
• Transitioning to Human Interaction with AI Systems: New Challenges and Opportunities for HCI Professionals to Enable Human-Centered AI (2021, background): “The effort to address the classic “ ironies of automation ” issue has existed over 30 years, but is still not completely solved (Bainbridge, 1983; Strauch, 2017).”